DocumentCode :
1591418
Title :
Fault detection based on a signal of rotor rotation
Author :
Dawen, Guo ; Gewen, Kang ; Wei, Wang
Author_Institution :
Sch. of Autom., Univ. of Electron. Sci. & Technol., Chengdu, China
Volume :
4
fYear :
2011
Firstpage :
159
Lastpage :
162
Abstract :
Currently, when research the fault detection and diagnosis in the mechanical and electrical systems, with the most is extracted vibration signal analysis and processing, but the vibration signal could been interfered easily by outside environment, this is likely to lead to signal distortion and cannot detect the fault. This paper proposed a fault detection method of mechanical and electrical system based on a rotation signal which collected by rotor, and introduced the rotation signal extraction method and FFT analysis theory. Experiments show that the method can capture the rotor turn signals accurately, and ensure the accuracy of FFT analysis base on this signal. From the results of PC processing, we can see, this method can detect common mechanical system failure effectively, and overcome the shortcomings of the vibration failure analysis.
Keywords :
distortion; failure analysis; fast Fourier transforms; rotors; vibrations; FFT analysis theory; electrical systems; fault detection; mechanical systems; rotation signal extraction; rotor rotation; signal distortion; vibration failure analysis; vibration signal analysis; Discrete Fourier transforms; Educational institutions; Fault detection; Nickel; Presses; Rotors; Vibrations; FFT; fault detection; rotating machinery; rotation signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
Type :
conf
DOI :
10.1109/ICEMI.2011.6037969
Filename :
6037969
Link To Document :
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